Sentence examples for forecasting the potential from inspiring English sources

This approach allows for the influence of varying wind conditions in forecasting the potential ash hazard footprint from any one eruption.

By preemptively forecasting the potential ROI for content campaigns, marketers are better equipped to decide which content opportunities to pursue.

These outlooks are a guidance product for local, state, and federal government agencies, including local National Weather Service offices, in forecasting the potential for wildfires.

This knowledge is critical for forecasting the potential future movements of species because climate change is expected to generate novel climates [16] and species are capable of unexpectedly colonizing new environments [17], [18].

Risk identification is also the goal of this book — to forecast the potential problems of big data policing as it reshapes law enforcement.

The sigmoid function and the estimated values in Table 3 allow one to forecast the potential LNG bunkering market in Antwerp.

These initial observations could inform policy discussions and help forecast the potential share of key provinces and sectors in the new carbon market.

Upon the recommendation of the type of the treatment, the intelligent system proposes a recipe for the treatment and forecasts the potential gains that can be expected once the proposed treatment is completed.

If the goal is to use the tree to forecast the potential distribution of an invasive species based on the ecological niche of it and its nearest relatives, then the result could influence policy decision on a national or international level.

The multiple solutions can be used to (1) generate alternative flux scenarios that can account for limited experimental observations, (2) forecast the potential responses to mutation (e.g., new reaction pathways may be used), and (3) (as illustrated) design 13C NMR experiments such that different potential flux patterns in a mutant can be distinguished.

This modeling framework connects watershed and atmospheric material loading to estuarine productivity, has been used to assess differences in ecosystem metabolism with changes in environmental drivers, and provides the foundation for a suite of sub-models to forecast the potential effects of relative sea level rise for a variety of nearshore environments.